Hello! I am a Ph.D. student in EECS at UC Berkeley advised by Alexandre Bayen. My research focuses on learning, control, and decision-making in societal-scale multi-agent systems. I aim to design rules and algorithms that incentivize desirable outcomes in such systems and enable agents to learn in the presence of strategic behavior, uncertainty, and limited resources. I seek to develop algorithms with guarantees on both performance and normative objectives such as fairness, privacy, and social welfare. My work draws inspiration from control theory, optimization, and game theory.
Prior to joining Berkeley, I received my M.Sc. in Computational Science and Engineering at MIT and B.S. in Mechanical Engineering from Alfaisal University.
